Qohash - Senior Machine Learning Developer
Requirements
• You're a hands-on machine learning developer who's energized by getting models out of the notebook and into the real world, shipped, running, and holding up under production conditions. You take pride in owning what you build: watching how your models behave once deployed and iterating to keep them sharp. You bring strong engineering fundamentals and collaborate naturally, helping the team converge on quality decisions. You're comfortable with the pace and ambiguity of a startup, and you care about the outcome, not just the code. • 7+ years' experience building and shipping machine learning models to production- including deploying, running, and monitoring them in live environments • building • shipping machine learning models to production • deploying, running, and monitoring • Hands-on track record owning models post-deployment: monitoring performance, detecting drift, and iterating on production systems • owning models • monitoring performance, detecting drift, and iterating • A bachelor's or master's degree in computer science, engineering, or a related field (or equivalent professional experience) • Experience embedding ML models for on-device inference (a strong asset for this role) • on-device inference • Experience with high-performance, low-resource systems programming (memory management, multithreading, optimization), ideally in Go or an adjacent systems language • high-performance, low-resource • ideally in Go • Bilingual (French and English) • Experience working in a startup environment • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Responsibilities
• Build, optimize, and embed machine learning models for on-device inference within the QSIDS detection engine. • Build • Optimize models for performance and resource constraints, minimizing memory footprint, latency, and compute on-device. • Optimize • Collaborate closely with systems engineers to integrate models efficiently into a Go-based engine. • Collaborate • Take models all the way to production and own them once they're running, monitoring performance, detecting drift, and iterating to keep them reliable. • Collaborate with stakeholders to define milestones and ensure timelines align with development needs. • Participate in discussions on technological choices and decisions regarding product development. • Resolve anomalies and problems as soon as they arise. • Resolve • Stay on the lookout for the latest ML and other technologies and best practices - but resist novelty chasing. • resist • Help onboard and train colleagues as the team grows. • Effectively communicate technical concepts to both technical and non-technical stakeholders. • What Your Resume Shows
Benefits
• Competitive salary range. • Enjoy up to six weeks of paid time off annually, because we value your work-life balance. • six weeks of paid time off annually, • Short- and long-term disability • Paramedical and telemedicine services • Health Spending Account (HSA)
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